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Islanding Detection in Rural Distribution Systems

Author

Listed:
  • Wen Fan

    (Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA)

  • Ning Kang

    (Power and Energy Systems Department, Idaho National Laboratory, Idaho Falls, ID 83415, USA)

  • Robert Hebner

    (Center for Electromechanics, University of Texas at Austin, Austin, TX 78758, USA)

  • Xianyong Feng

    (Center for Electromechanics, University of Texas at Austin, Austin, TX 78758, USA)

Abstract

This paper summarizes the literature on detection of islanding resulting from distributed generating capabilities in a power distribution system, with emphasis on the rural distribution systems. It is important to understand the legacy technology and equipment in the rural distribution electrical environment due to the growth of power electronics and the potential for adding the new generations of intelligent sensors. The survey identified four areas needing further research: 1. Robustness in the presence of distribution grid disturbances; 2. the future role of artificial intelligence in the islanding application; 3. more realistic standard tests for the emerging electrical environment; 4. smarter sensors. In addition, this paper presents a synchro-phasor-based islanding detection approach based on a wireless sensor network developed by the University of Texas at Austin. Initial test results in a control hardware-in-the-loop (CHIL) simulation environment suggest the effectiveness of the developed method.

Suggested Citation

  • Wen Fan & Ning Kang & Robert Hebner & Xianyong Feng, 2020. "Islanding Detection in Rural Distribution Systems," Energies, MDPI, vol. 13(20), pages 1-12, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5503-:d:431993
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    Citations

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    Cited by:

    1. Szymon Barczentewicz & Tomasz Lerch & Andrzej Bień & Krzysztof Duda, 2021. "Laboratory Evaluation of a Phasor-Based Islanding Detection Method," Energies, MDPI, vol. 14(7), pages 1-17, April.
    2. Syed Basit Ali Bukhari & Khawaja Khalid Mehmood & Abdul Wadood & Herie Park, 2021. "Intelligent Islanding Detection of Microgrids Using Long Short-Term Memory Networks," Energies, MDPI, vol. 14(18), pages 1-16, September.

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